An important part of the Data Science Foundation’s remit is enabling the flow of new ideas. As the foundation has a wide user base, active members benefit from the opportunity of peer review across many sub-disciplines. An example is Pivotal iQ, data science specialists and leaders in the field of propensity Modelling. They wanted to demonstrate how millions of micro data points can be connected to build a picture of customer opportunity. Publishing a white paper with the Data Science Foundation offered Pivotal iQ the opportunity to demonstrate to potential clients the tools they can offer to help them better understand the customer environment. In this article, we’ll shed more light on how Pivotal iQ implements Propensity Modelling to find customer opportunities in data. Hopefully, this case study will help you implement Propensity Modelling in your own business or research using the best industry standards embodied in Pivotal iQ tools.
Data Science Use Cases
Use Cases enable business managers to understand how Big Data techniques could be applied to their organisations by providing real life examples of evidence based decision making in action.
While millions of people are at risk of committing suicide, teens are often the most in distress. A number of solutions have been created to reach at-risk teens and help prevent them from taking their own lives. One of these is Crisis Text Line. However, the organization found that it required assistance in measuring interaction value and creating predictive models to help create positive outcomes in the future.